Objectives of the invited session:
It became obvious, in the last decade, that there are at least four
basic different intelligent techniques and approaches in the wide area
of
Artificial Intelligence: traditional knowledge-based systems, neural
networks,
fuzzy systems, genetic algorithms. Additionally, other recent
methodologies,
such as multi-agent systems and data mining, have emerged in the AI
field. The
limitations of each methodology have determined the researchers in the
field to look for ways of hybridizing more intelligent techniques. There

has
been a tremendous amount of research work on the integration of two or
more
intelligent approaches of those given above. These kind of systems are
usually termed Hybrid Intelligent Systems. More exactly, Hybrid
Intelligent Systems try to combine two or more different intelligent
methodologies,
in order to overcome the difficulties of each individual approach and,
on
the other hand, to benefit of the advantages provided by one approach
comparing with the others, with the final aim of building more
performant
intelligent systems for solving more complex problems.
The invited session is intended to focus on the new ideas and paradigms
in the area of Hybrid Intelligent Systems, regarding both the
theoretical
and methodological aspects, as well as regarding various applications of

hybrid intelligent techniques to many real world problems.

Topics of interest to the session include (but are not limited to) the
followings:

notification of acceptance: 20 April 2002
camera-ready papers due by: 1 May 2002
register with payment by: 1 June 2002

For instructions for authors, details about submition and publication,
and any other information, please see the web site of the conference:
http://www.bton.ac.uk/kes/kes2002/ or contact the organizers on the
addresses given above.